Why Programs Fail

An award-winning guide to faster and easier debugging is now updated with the latest tools and techniques. It demystifies one of the toughest aspects of software programming, showing clearly how to discover what caused software failures, and fix them with minimal muss and fuss.

Why Programs Fail: A Guide to Systematic Debugging is proof that debugging has graduated from a black art to a systematic discipline. It demystifies one of the toughest aspects of software programming, showing clearly how to discover what caused software failures, and fix them with minimal muss and fuss. The fully updated second edition includes 100+ pages of new material, including new chapters on Verifying Code, Predicting Erors, and Preventing Errors. Cutting-edge tools such as FindBUGS and AGITAR are explained, techniques from integrated environments like Jazz.net are highlighted, and all-new demos with ESC/Java and Spec#, Eclipse and Mozilla are included. This complete and pragmatic overview of debugging is authored by Andreas Zeller, the talented researcher who developed the GNU Data Display Debugger(DDD), a tool that over 250,000 professionals use to visualize the data structures of programs while they are running. Unlike other books on debugging, Zeller's text is product agnostic, appropriate for all programming languages and skill levels. The book explains best practices ranging from systematically tracking error reports, to observing symptoms, reproducing errors, and correcting defects. It covers a wide range of tools and techniques from hands-on observation to fully automated diagnoses, and also explores the author's innovative techniques for isolating minimal input to reproduce an error and for tracking cause and effect through a program. It even includes instructions on how to create automated debugging tools. The text includes exercises and extensive references for further study, and a companion website with source code for all examples and additional debugging resources is available. The new edition of this award-winning productivity-booster is for any developer who has ever been frustrated by elusive bugs Brand new chapters demonstrate cutting-edge debugging techniques and tools, enabling readers to put the latest time-saving developments to work for them Learn by doing. New exercises and detailed examples focus on emerging tools, languages and environments, including AGITAR, FindBUGS, Python and Eclipse.

This book is proof that debugging has graduated from a black art to a systematic discipline. It demystifies one of the toughest aspects of software programming, showing clearly how to discover what caused software failures, and fix them with minimal muss and fuss. The fully updated second edition includes 100+ pages of new material, including new chapters on Verifying Code, Predicting Erors, and Preventing Errors. Cutting-edge tools such as FindBUGS and AGITAR are explained, techniques from integrated environments like Jazz.net are highlighted, and all-new demos with ESC/Java and Spec#, Eclipse and Mozilla are included. This complete and pragmatic overview of debugging is authored by Andreas Zeller, the talented researcher who developed the GNU Data Display Debugger(DDD), a tool that over 250,000 professionals use to visualize the data structures of programs while they are running. Unlike other books on debugging, Zeller's text is product agnostic, appropriate for all programming languages and skill levels. The book explains best practices ranging from systematically tracking error reports, to observing symptoms, reproducing errors, and correcting defects. It covers a wide range of tools and techniques from hands-on observation to fully automated diagnoses, and also explores the author's innovative techniques for isolating minimal input to reproduce an error and for tracking cause and effect through a program. It even includes instructions on how to create automated debugging tools. The text includes exercises and extensive references for further study, and a companion website with source code for all examples and additional debugging resources is available. *The new edition of this award-winning productivity-booster is for any developer who has ever been frustrated by elusive bugs *Brand new chapters demonstrate cutting-edge debugging techniques and tools, enabling readers to put the latest time-saving developments to work for them *Learn by doing. New exercises and detailed examples focus on emerging tools, languages and environments, including AGITAR, FindBUGS, Python and Eclipse.

If you want your startup to succeed, you need to understand why startups fail. “Whether you’re a first-time founder or looking to bring innovation into a corporate environment, Why Startups Fail is essential reading.”—Eric Ries, founder and CEO, LTSE, and New York Times bestselling author of The Lean Startup and The Startup Way Why do startups fail? That question caught Harvard Business School professor Tom Eisenmann by surprise when he realized he couldn’t answer it. So he launched a multiyear research project to find out. In Why Startups Fail, Eisenmann reveals his findings: six distinct patterns that account for the vast majority of startup failures. • Bad Bedfellows. Startup success is thought to rest largely on the founder’s talents and instincts. But the wrong team, investors, or partners can sink a venture just as quickly. • False Starts. In following the oft-cited advice to “fail fast” and to “launch before you’re ready,” founders risk wasting time and capital on the wrong solutions. • False Promises. Success with early adopters can be misleading and give founders unwarranted confidence to expand. • Speed Traps. Despite the pressure to “get big fast,” hypergrowth can spell disaster for even the most promising ventures. • Help Wanted. Rapidly scaling startups need lots of capital and talent, but they can make mistakes that leave them suddenly in short supply of both. • Cascading Miracles. Silicon Valley exhorts entrepreneurs to dream big. But the bigger the vision, the more things that can go wrong. Drawing on fascinating stories of ventures that failed to fulfill their early promise—from a home-furnishings retailer to a concierge dog-walking service, from a dating app to the inventor of a sophisticated social robot, from a fashion brand to a startup deploying a vast network of charging stations for electric vehicles—Eisenmann offers frameworks for detecting when a venture is vulnerable to these patterns, along with a wealth of strategies and tactics for avoiding them. A must-read for founders at any stage of their entrepreneurial journey, Why Startups Fail is not merely a guide to preventing failure but also a roadmap charting the path to startup success.

Winner of the 2019 National Business Book Award A groundbreaking take on how complexity causes failure in all kinds of modern systems—from social media to air travel—this practical and entertaining book reveals how we can prevent meltdowns in business and life. A crash on the Washington, D.C. metro system. An accidental overdose in a state-of-the-art hospital. An overcooked holiday meal. At first glance, these disasters seem to have little in common. But surprising new research shows that all these events—and the myriad failures that dominate headlines every day—share similar causes. By understanding what lies behind these failures, we can design better systems, make our teams more productive, and transform how we make decisions at work and at home. Weaving together cutting-edge social science with riveting stories that take us from the frontlines of the Volkswagen scandal to backstage at the Oscars, and from deep beneath the Gulf of Mexico to the top of Mount Everest, Chris Clearfield and András Tilcsik explain how the increasing complexity of our systems creates conditions ripe for failure and why our brains and teams can't keep up. They highlight the paradox of progress: Though modern systems have given us new capabilities, they've become vulnerable to surprising meltdowns—and even to corruption and misconduct. But Meltdown isn't just about failure; it's about solutions—whether you're managing a team or the chaos of your family's morning routine. It reveals why ugly designs make us safer, how a five-minute exercise can prevent billion-dollar catastrophes, why teams with fewer experts are better at managing risk, and why diversity is one of our best safeguards against failure. The result is an eye-opening, empowering, and entirely original book—one that will change the way you see our complex world and your own place in it.

The World’s Most Influential Book on Personal Success The bestselling classic that made Systems Over Goals, Talent Stacking, and Passion Is Overrated universal success advice has been reborn. Once in a generation, a book revolutionizes its category and becomes the preeminent reference that all subsequent books on the topic must pay homage to, in name or in spirit. How to Fail at Almost Everything and Still Win Big by Scott Adams, creator of Dilbert, is such a book for the field of personal success. A contrarian pundit and persuasion expert in a class of his own, Adams has reached hundreds of millions directly and indirectly through the 2013 first edition’s straightforward yet counterintuitive advice—to invite failure in, embrace it, then pick its pocket. The second edition of How to Fail is a tighter, updated version, by popular demand. Yet new and returning readers alike will find the same candor, humor, and timeless wisdom on productivity, career growth, health and fitness, and entrepreneurial success as the original classic. How to Fail at Almost Everything and Still Win Big, Second Edition is the essential read (or re-read) for anyone who wants to find a unique path to personal victory—and make luck find you in whatever you do.

From the ill-fated dot-com bubble to unprecedented merger and acquisition activity to scandal, greed, and, ultimately, recession -- we've learned that widespread and difficult change is no longer the exception. By outlining the process organizations have used to achieve transformational goals and by identifying where and how even top performers derail during the change process, Kotter provides a practical resource for leaders and managers charged with making change initiatives work.

NATIONAL BESTSELLER • A leading economist answers one of today’s trickiest questions: Why do some great ideas make it big while others fail to take off? “Brilliant, practical, and grounded in the very latest research, this is by far the best book I’ve ever read on the how and why of scaling.”—Angela Duckworth, CEO of Character Lab and New York Times bestselling author of Grit ONE OF THE MOST ANTICIPATED BOOKS OF 2022—Men’s Journal “Scale” has become a favored buzzword in the startup world. But scale isn't just about accumulating more users or capturing more market share. It's about whether an idea that takes hold in a small group can do the same in a much larger one—whether you’re growing a small business, rolling out a diversity and inclusion program, or delivering billions of doses of a vaccine. Translating an idea into widespread impact, says University of Chicago economist John A. List, depends on one thing only: whether it can achieve “high voltage”—the ability to be replicated at scale. In The Voltage Effect, List explains that scalable ideas share a common set of attributes, while any number of attributes can doom an unscalable idea. Drawing on his original research, as well as fascinating examples from the realms of business, policymaking, education, and public health, he identifies five measurable vital signs that a scalable idea must possess, and offers proven strategies for avoiding voltage drops and engineering voltage gains. You’ll learn: • How celebrity chef Jamie Oliver expanded his restaurant empire by focusing on scalable “ingredients” (until it collapsed because talent doesn’t scale) • Why the failure to detect false positives early on caused the Reagan-era drug-prevention program to backfire at scale • How governments could deliver more services to more citizens if they focused on the last dollar spent • How one education center leveraged positive spillovers to narrow the achievement gap across the entire community • Why the right set of incentives, applied at scale, can boost voter turnout, increase clean energy use, encourage patients to consistently take their prescribed medication, and more. By understanding the science of scaling, we can drive change in our schools, workplaces, communities, and society at large. Because a better world can only be built at scale.